Beginners: Use the Stock Market to Learn Python

This presentation introduces Python to Students. We learn a little about the topics listed below:

• Plain Python
• NumPy
• Pandas
• scikit-learn
• matplot lib
• Heroku

We build a simple application which completes these tasks once a day:

• Acquire Stock Market Prices
• Create Features from Prices
• Visualize Features
• Train Logistic Regression Model (1987-2014)
• Predict 2015 and 2016
• Visualize Accuracy and Effectiveness of Predictions
• Serve the Visualizations from Heroku.com

The software behind this application is served from github:

https://github.com/danbikle/pyspy
https://github.com/danbikle/herokuspy

This presentation is served from www.syntax.us (http://www.syntax.us/):

http://www.syntax.us/posts/python_preso

Feel free to bring your laptop to follow along with the coding. If you have questions, e-mail Dan: bikle101 at gmail

Bio:

Dan Bikle is a Data Analysis Programmer